3 months ago

Senior Data Engineer, Customer-Facing Data Products

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Senior Data Engineer to design and build real-time data pipelines and APIs for customer-facing use cases, delivering high-availability data serving, quality, and observability. You will collaborate with software and infrastructure teams in a hybrid New York, NY setting, focusing on event-driven architectures and streaming technologies to support behavioral and targeting use cases for a national audience.

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Develop real-time data pipelines using event-driven architectures and streaming technologies.
•Ingest and organize structured and unstructured data for widespread reuse across patterns.
•Engineer and scale high availability data serving capabilities to meet customer-facing needs.
•Implement mechanisms to ensure data quality, observability and governance best practices.
•Collaborate with software engineers and infrastructure teams to improve pipeline performance and integrate solutions into production environments.

Pay and Benefits

Salary: USD 140,000 - 155,000 annually

Perks:Health InsuranceDentalVision401kPaid LeavePaid SickPaid Parental

Key Requirements

•5+ years of full-time data engineering experience shipping real-time solutions with event-driven architectures and stream-processing frameworks
•Experience with cloud native architectures (AWS preferred), including service offerings and tools
•Understanding of modern API design principles and technologies, including REST, GraphQL, and gRPC for data serving
•Programming fluency with Python
•Experience using version control and CI/CD tools, such as Github Actions and Drone

Experience:5+ yearsMediaData engineeringReal-time data pipelinesAPIs

Education:Bachelor's

Skills:CommunicationMentoringCollaborationTeamworkProblem-solving

Languages:English

Tech Stack:PythonAWSGraphQLRESTGRPCKafkaFlinkSpark StreamingFastAPIFlaskSQLGitHub ActionsDroneAPI design

Company Brief

The New York Times

Operates The New York Times, a global news organization delivering journalism across print and digital platforms, plus specialty sites like Wirecutter. Produces reporting, opinion, multimedia, and subscription-driven content covering national and international affairs.

Industry: News, Journalism & Broadcasting

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 1851

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

The New York Times

3 months ago

Senior Data Engineer, Customer-Facing Data Products

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Develop real-time data pipelines using event-driven architectures and streaming technologies.
•Ingest and organize structured and unstructured data for widespread reuse across patterns.
•Engineer and scale high availability data serving capabilities to meet customer-facing needs.
•Implement mechanisms to ensure data quality, observability and governance best practices.
•Collaborate with software engineers and infrastructure teams to improve pipeline performance and integrate solutions into production environments.

Pay and Benefits

Salary: USD 140,000 - 155,000 annually

Perks:Health InsuranceDentalVision401kPaid LeavePaid SickPaid Parental

Key Requirements

•5+ years of full-time data engineering experience shipping real-time solutions with event-driven architectures and stream-processing frameworks
•Experience with cloud native architectures (AWS preferred), including service offerings and tools
•Understanding of modern API design principles and technologies, including REST, GraphQL, and gRPC for data serving
•Programming fluency with Python
•Experience using version control and CI/CD tools, such as Github Actions and Drone

Experience:5+ yearsMediaData engineeringReal-time data pipelinesAPIs

Education:Bachelor's

Skills:CommunicationMentoringCollaborationTeamworkProblem-solving

Languages:English

Tech Stack:PythonAWSGraphQLRESTGRPCKafkaFlinkSpark StreamingFastAPIFlaskSQLGitHub ActionsDroneAPI design

Company Brief

The New York Times

Industry: News, Journalism & Broadcasting

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 1851

Website LinkedIn